62 publications with the keyword "features"


#168: N. Al-Shakarji, F. Bunyak, and K. Palaniappan

CS-LOFT - Color and scale adaptive tracking using Bhattacharyya distance and max pooling consistency

Proc. IEEE Applied Imagery Pattern Recognition (AIPR), 2016

color, wami, tracking, fmv, features

Abstract, Bibtex, PlainText, Google Scholar
#170: M. Poostchi, H. Aliakbarpour, R. Viguier, F. Bunyak, K. Palaniappan, and G. Seetharaman

Semantic depth map fusion for moving vehicle detection in aerial video

Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pgs. 32-40, 2016

wami, tracking, fmv, features, motion, image analysis

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#154: W. R. Thissell, R. Czajkowski, F. Schrenk, T. Selway, A. J. Ries, S. Patel, P. L. McDermott, R. Moten, R. Rudnicki, G. Seetharaman, I. Ersoy, and K. Palaniappan

A scalable architecture for operational FMV exploitation (AVAA)

Proc. IEEE International Conference on Computer Vision Workshop (ICCVW) Video Summarization for Large-scale Analytics Workshop, 2015

fmv, motion, features, image anlaysis, wami

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#151: M. Kristan, J. Matas, A. Leonardis, M. Felsberg, .., R. Pelapur, K. Palaniappan, F. Bunyak, M. Poostchi, S. Yao, and K. Gao

The Visual Object Tracking VOT2015 challenge results

IEEE International Conference on Computer Vision Workshops (ICCVW) - Visual Object Tracking Challenge (VOT), 2015

wami, tracking, fmv, features, motion, image analysis

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#131: S. Jaeger, A. Karargyris, S. Candemir, L. Folio, J. Siegelman, F. Callaghan, Z. Xue, K. Palaniappan, R. Singh, S. Antani, G. Thoma, Y.-X. Wang, P.-X. Lu, and C. J. McDonald

Automatic tuberculosis screening using chest radiographs

IEEE Trans. Medical Imaging, Volume 33, pgs. 233-245, 2014

classification, features, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#125: M. Poostchi, F. Bunyak, and K. Palaniappan

Feature selection for appearance-based vehicle tracking in geospatial video

Proc. SPIE Conf. Geospatial InfoFusion III (Defense, Security and Sensing: Sensor Data and Information Exploitation), Volume 8747, pgs. 87470G, 2013

wami, tracking, fmv, features, motion, dod

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#124: J. Fraser, A. Haridas, G. Seetharaman, R. Rao, and K. Palaniappan

KOLAM: A cross-platform architecture for scalable visualization and tracking in wide-area motion imagery

Proc. SPIE Conf. Geospatial InfoFusion III (Defense, Security and Sensing: Sensor Data and Information Exploitation), Volume 8747, pgs. 87470N, 2013

visualization, big data, wami, tracking, fmv, features, motion, dod, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#106: M. Poostchi, K. Palaniappan, F. Bunyak, M. Becchi, and G. Seetharaman

Efficient GPU implementation of the integral histogram

Lecture Notes in Computer Science (ACCV Workshop on Developer-Centered Computer Vision), Volume 7728, pgs. 266--278, 2012

parallelization, gpu, tracking, fmv, motion, features, dod

Abstract, Bibtex, PlainText, PDF, Google Scholar
#119: I. Ersoy, K. Palaniappan, G. Seetharaman, and R. Rao

Interactive tracking for persistent wide-area surveillance

Proc. SPIE Conf. Geospatial InfoFusion II (Defense, Security and Sensing: Sensor Data and Information Exploitation), Volume 8396, 2012

wami, tracking, fmv, features, motion, fusion, dod

Abstract, Bibtex, PlainText, PDF, Google Scholar
#117: S. Candemir, K. Palaniappan, F. Bunyak, and G. Seetharaman

Feature fusion using ranking for object tracking in aerial imagery

Proc. SPIE Conf. Geospatial InfoFusion II (Defense, Security and Sensing: Sensor Data and Information Exploitation), Volume 8396, 2012

wami, tracking, fmv, features, motion, fusion, dod

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#123: I. Ersoy, K. Palaniappan, and G. Seetharaman

Visual tracking with robust target localization

IEEE Int. Conf. Image Processing, pgs. 1365--1368, 2012

wami, tracking, fmv, features, motion, dod

Abstract, Bibtex, PlainText, PDF, Google Scholar
#115: R. Pelapur, K. Palaniappan, and G. Seetharaman

Robust orientation and appearance adaptation for wide-area large format video object tracking

9th IEEE Int. Conf. Advanced Video and Signal-Based Surveillance, 2012

wami, tracking, fmv, motion, features, dod

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#113: I. Ersoy, F. Bunyak, K. Palaniappan, and J. Peng

HEp-2 Cell Classification in IIF Images Using ShareBoost

Int. Conf. Pattern Recognition, 2012

cell detection, cell classification, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#122: J. Peng, K. Palaniappan, S. Candemir, and G. Seetharaman

Kullback-Leibler divergence-based data fusion for target tracking

Int. Conf. Pattern Recognition, 2012

wami, tracking, fmv, features, motion, fusion, data mining, machine learning, dod

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#112: R. Pelapur, S. Candemir, F. Bunyak, M. Poostchi, G. Seetharaman, and K. Palaniappan

Persistent target tracking using likelihood fusion in wide-area and full motion video sequences

15th Int. Conf. Information Fusion, pgs. 2420--2427, 2012

wami, tracking, fmv, motion, features, fusion, dod

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#111: V. B. S. Prasath, F. Bunyak, P. Dale, S. R. Frazier, and K. Palaniappan

Segmentation of breast cancer tissue microarrays for computer-aided diagnosis in pathology

IEEE Healthcare Innovation Conference, 2012

histopathology, active contours, classification, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, Google Scholar
#109: V. B. S. Prasath, K. Palaniappan, and G. Seetharaman

Multichannel texture image segmentation using local feature fitting based variational active contours

8th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2012

active contours, color, texture, segmentation, features, fusion

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#108: S. Candemir, K. Palaniappan, F. Bunyak, G. Seetharaman, and R. Rao

Feature prominence-based weighting scheme for video tracking

8th Indian Conference on Computer Vision, Graphics and Image Processing, 2012

wami, tracking, fmv, motion, features, fusion, dod

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#107: M. Poostchi, K. Palaniappan, F. Bunyak, M. Becchi, and G. Seetharaman

Realtime motion detection based on the spatio-temporal median filter using GPU integral histograms

8th Indian Conference on Computer Vision, Graphics and Image Processing, 2012

parallelization, gpu, tracking, fmv, motion, features, dod

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#105: L. Wang, C. Shen, G. Seetharaman, K. Palaniappan, and S. Bhattacharyya

Multidimensional dataflow graph modeling and mapping for efficient GPU implementation

IEEE Workshop Signal Processing Systems (SiPS), pgs. 300--305, 2012

parallelization, gpu, tracking, fmv, motion, features, dod

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#104: K. Palaniappan, R. Rao, and G. Seetharaman

Wide-area persistent airborne video: Architecture and challenges

Distributed Video Sensor Networks: Research Challenges and Future Directions, Springer, pgs. 349--371, 2011

wami, tracking, fmv, features, motion, fusion, dod

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#103: F. Bunyak, A. Hafiane, and K. Palaniappan

Histopathology tissue segmentation by combining fuzzy clustering with multiphase vector level sets

Software Tools and Algorithms for Biological Systems, Springer, pgs. 413--424, 2011

histopathology, active contours, classification, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#102: P. Bellens, K. Palaniappan, R. M. Badia, G. Seetharaman, and J. Labarta

Parallel implementation of the integral histogram

Lecture Notes in Computer Science (ACIVS), Volume 6915, pgs. 586--598, 2011

parallelization, gpu, tracking, fmv, motion, features, dod

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#101: J. Peng, C. Barbu, G. Seetharaman, F. Wei, X. Wu, and K. Palaniappan

ShareBoost: Boosting for multi-view learning with performance guarantees

Lecture Notes in Artificial Intelligence (ECML PKDD), Volume 6912, pgs. 597--612, 2011

machine learning, detection, classification, features, texture, data mining

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#100: A. Haridas, R. Pelapur, J. Fraser, F. Bunyak, and K. Palaniappan

Visualization of automated and manual trajectories in wide-area motion imagery

15th Int. Conf. Information Visualization, pgs. 288--293, 2011

visualization, big data, wami, tracking, fmv, features, motion, dod

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#97: K. Palaniappan, F. Bunyak, P. Kumar, I. Ersoy, S. Jaeger, K. Ganguli, A. Haridas, J. Fraser, R. Rao, and G. Seetharaman

Efficient feature extraction and likelihood fusion for vehicle tracking in low frame rate airborne video

13th Int. Conf. Information Fusion, 2010

wami, tracking, fmv, motion, features, fusion, dod

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#96: S. Jaeger, K. Palaniappan, C. S. Casas-Delucchi, and M. C. Cardoso

Classification of cell cycle phases in 3D confocal microscopy using PCNA and chromocenter features

7th Indian Conference on Computer Vision, Graphics and Image Processing, 2010

cell detection, cell segmentation, cell classification, cell tracking, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#94: S. Jaeger, K. Palaniappan, C. S. Casas-Delucchi, and M. C. Cardoso

Dual channel colocalization for cell cycle analysis using 3D confocal microscopy

IEEE Int. Conf. Pattern Recognition, 2010

cell detection, cell segmentation, cell classification, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#93: M. H. Kolekar, K. Palaniappan, S. Sengupta, and G. Seetharaman

Semantic concept mining based on hierarchical event detection for soccer video indexing

J. Multimedia, Volume 4, pgs. 298--312, 2009

fmv, motion, features, fusion, visual events, data mining, cbir

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#82: M. H. Kolekar, K. Palaniappan, S. Sengupta, and G. Seetharaman

Event detection and semantic identification using Bayesian belief networks

IEEE Int. Conf. Computer Vision Workshops, pgs. 554--561, 2009

fmv, motion, features, fusion, visual events, data mining, cbir

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#92: F. Bunyak, K. Palaniappan, V. Chagin, and M. C. Cardoso

Cell segmentation in time-lapse fluorescence microscopy with temporally varying sub-cellular fusion protein patterns

31st IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pgs. 1--5, 2009

cell detection, cell segmentation, cell tracking, features, texture, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#81: I. Ersoy, F. Bunyak, V. Chagin, M. C. Cardoso, and K. Palaniappan

Segmentation and classification of cell cycle phases in fluorescence imaging

Lecture Notes in Computer Science (MICCAI), Volume 5762, pgs. 617--624, 2009

cell detection, cell segmentation, cell classification, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, PubMed, DOI, Google Scholar
#89: A. Mosig, S. Jaeger, W. Chaofeng, I. Ersoy, S. K. Nath, K. Palaniappan, and S. Chen

Tracking cells in live cell imaging videos using topological alignments

Algorithms in Molecular Biology, Volume 4, pgs. 10p, 2009

cell detection, cell segmentation, cell tracking, features, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#87: P. Kumar, K. Palaniappan, A. Mittal, and G. Seetharaman

Parallel blob extraction using the multi-core Cell processor

Lecture Notes in Computer Science (ACIVS), Volume 5807, pgs. 320--332, 2009

parallelization, tracking, fmv, motion, features, dod

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#86: S. Mehta, A. Misra, A. Singhal, P. Kumar, A. Mittal, and K. Palaniappan

Parallel implementation of video surveillance algorithms on GPU architectures using CUDA

17th IEEE Int. Conf. Advanced Computing and Communications (ADCOM), 2009

parallelization, gpu, tracking, fmv, motion, features, dod

Abstract, Bibtex, PlainText, PDF, Google Scholar
#85: A. Hafiane, F. Bunyak, and K. Palaniappan

Evaluation of level set-based histology image segmentation using geometric region criteria

IEEE Int. Symposium on Biomedical Imaging (ISBI), 2009

histopathology, active contours, classification, segmentation, features, texture, biomedical

Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#83: B. Shen, W. Tao, J. Chern, R. Atlas, and K. Palaniappan

Scalability improvements in the NASA Goddard Multiscale Modeling Framework for tropical cyclone climate studies

Proc. 10th Int. Conf. for High-Performance Computing in ASIA-Pacific Region, 2009

visualization, parallelization, features, motion, cloud

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#79: I. Ersoy, F. Bunyak, M. A. Mackey, and K. Palaniappan

Cell segmentation using Hessian-based detection and contour evolution with directional derivatives

IEEE Int. Conf. Image Processing, pgs. 1804--1807, 2008

cell segmentation, cell detection, active contours, features, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#78: A. Hafiane, F. Bunyak, and K. Palaniappan

Fuzzy clustering and active contours for histopathology image segmentation and nuclei detection

Lecture Notes in Computer Science (ACIVS), Volume 5259, pgs. 903--914, 2008

histopathology, active contours, classification, segmentation, features, texture, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#76: M. H. Kolekar and K. Palaniappan

A hierarchical framework for semantic scene classification in soccer sports video

IEEE Region Ten (TENCON) Int. Conference, pgs. Online, 2008

fmv, features, fusion, visual events, data mining, cbir

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#75: M. H. Kolekar, K. Palaniappan, and S. Sengupta

Semantic event detection and classification in cricket video sequence

IEEE Indian Conference on Computer Vision, Graphics and Image Processing, pgs. 382--389, 2008

fmv, features, fusion, visual events, data mining, cbir

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#74: M. H. Kolekar, K. Palaniappan, and S. Sengupta

A novel framework for semantic annotation of soccer sports video sequences

Proc. 5th IEEE European Conference on Visual Media Production, pgs. 1-9, 2008

fmv, features, fusion, visual events, data mining, cbir

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#73: A. Hafiane, F. Bunyak, and K. Palaniappan

Clustering initiated multiphase active contours and robust separation of nuclei groups for tissue segmentation

IEEE Int. Conf. Pattern Recognition, pgs. Online, 2008

histopathology, active contours, classification, segmentation, features, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#70: S. Grauer-Gray, C. Kambhamettu, and K. Palaniappan

GPU implementation of belief propagation using CUDA for cloud tracking and reconstruction

5th IAPR Workshop on Pattern Recognition in Remote Sensing (ICPR), pgs. 1--4, 2008

parallelization, gpu, tracking, stereo, fmv, motion, features, cloud

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#69: A. Hafiane, F. Bunyak, and K. Palaniappan

Level-set-based histology image segmentation with region-based comparison

MICCAI Workshop MIAAB, pgs. Online, 2008

histopathology, active contours, classification, features, texture, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#65: F. Bunyak, K. Palaniappan, S. K. Nath, and G. Seetharaman

Flux tensor constrained geodesic active contours with sensor fusion for persistent object tracking

J. Multimedia, Volume 2, pgs. 20--33, 2007

motion, fusion, tracking, active contours, visual events, features

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#64: C. R. Shyu, M. Klaric, G. J. Scott, A. S. Barb, C. H. Davis, and K. Palaniappan

GeoIRIS: Geospatial information retrieval and indexing system -- Content mining, semantics, modeling, and complex queries

IEEE Trans. Geoscience Remote Sensing, Volume 45, pgs. 839--852, 2007

gis, data mining, features, machine learning, parallelization, cbir

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#62: F. Bunyak, K. Palaniappan, S. K. Nath, and G. Seetharaman

Geodesic active contour based fusion of visible and infrared video for persistent object tracking

8th IEEE Workshop Applications of Computer Vision (WACV 2007), pgs. Online, 2007

motion, fusion, tracking, active contours, visual events, features

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#61: K. Palaniappan, I. Ersoy, and S. K. Nath

Moving object segmentation using the flux tensor for biological video microscopy

Lecture Notes in Computer Science (PCM), Volume 4810, pgs. 483-493, 2007

motion, fusion, tracking, active contours, features

Abstract, Bibtex, PlainText, URL, DOI, Google Scholar
#55: M. Klaric, G. Scott, C. Shyu, C. Davis, and K. Palaniappan

A framework for geospatial satellite imagery retrieval systems

IEEE Int. Geoscience and Remote Sensing Symposium, pgs. 2457--2460, 2006

gis, data mining, features, machine learning, visualization, remote sensing, cbir

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#54: S. Nath and K. Palaniappan

Adaptive robust structure tensors for orientation estimation and image segmentation

Lecture Notes in Computer Science (ISVC), Volume 3804, pgs. 445--453, 2005

image enhancement, features, detection, segmentation, denoising, convex relaxation

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar
#52: C. R. Shyu, G. Scott, M. Klaric, C. H. Davis, and K. Palaniappan

Automatic object extraction from full differential morphological profile in urban imagery for efficient object indexing and retrievals

3rd Int. Symposium on Remote Sensing and Data Fusion Over Urban Areas (URBAN 2005), Volume 36, 2005

gis, data mining, features, machine learning, shape, remote sensing, cbir

Abstract, Bibtex, PlainText, PDF, Google Scholar
#51: K. Palaniappan, H. S. Jiang, and T. I. Baskin

Non-rigid motion estimation using the robust tensor method

IEEE CVPR Workshop on Articulated and Nonrigid Motion, Volume 1, pgs. 25--33, 2004

detection, segmentation, features, tracking, convex relaxation, plants, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#49: C. Weele, H. Jiang, K. K. Palaniappan, V. B. Ivanov, K. Palaniappan, and T. I. Baskin

A new algorithm for computational image analysis of deformable motion at high spatial and temporal resolution applied to root growth: Roughly uniform elongation in the meristem and also, after an abrupt acceleration, in the elongation zone

Plant Physiology, Volume 132, pgs. 1138--1148, 2003

detection, segmentation, features, tracking, plants, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#48: H. S. Jiang, K. Palaniappan, and T. I. Baskin

A combined matching and tensor method to obtain high fidelity velocity fields from image sequences of the non-rigid motion of the growth of a plant root

IASTED Int. Conf. on Biomedical Engineering, pgs. 159--165, 2003

detection, segmentation, features, tracking, convex relaxation, plants, biomedical

Abstract, Bibtex, PlainText, URL, Google Scholar
#22: K. Palaniappan, J. Vass, and X. Zhuang

Parallel robust relaxation algorithm for automatic stereo analysis

SPIE Proc. Parallel and Distributed Methods for Image Processing II, Volume 3452, pgs. 958--962, 1998

parallelization, stereo, features

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#6: K. Palaniappan, T. S. Huang, and H. Lee

Comparison of image matching criteria for obtaining projections

IEEE Int. Conf. Image Processing, pgs. 112--117, 1989

segmentation, features, image analysis, biomedical

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#5: K. Palaniappan, T. S. Huang, and H. Lee

Automated reading of DNA autoradiogram images using lane profiling methods

IEEE Int. Workshop on Industrial Applications of Machine Intelligence and Vision, pgs. 360--367, 1989

segmentation, features, image analysis, bioinformatics, biomedical

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar
#4: K. Palaniappan and T. S. Huang

Image analysis for DNA sequencing

SPIE Proceedings on Biomedical Image Processing II, Volume 1450, pgs. 186--197, 1989

segmentation, features, image analysis, bioinformatics, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#3: G. F. McLean, K. Palaniappan, and M. E. Jernigan

An information based shape descriptor

Proc. IEEE Int. Conf. Systems, Man and Cybernetics, pgs. 705--709, 1985

segmentation, features, image analysis, shape

Bibtex, PlainText, Google Scholar
#2: K. Palaniappan and M. E. Jernigan

Pattern analysis of biological sequences

Proc. IEEE Int. Conf. Systems, Man and Cybernetics, pgs. 421--426, 1984

features, bioinformatics

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#1: K. Palaniappan and H. K. Kesavan

Iterative entropic measures for model order selection

Proc. IEEE Int. Conf. Computers, Systems and Signal Processing, pgs. 1765--1772, 1984

features, detection, tracking

Bibtex, PlainText, Google Scholar